Source code for watson_developer_cloud.speech_to_text_v1

# Copyright 2016 IBM All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
The v1 Speech to Text service
(https://www.ibm.com/watson/developercloud/speech-to-text.html)
"""

from .watson_developer_cloud_service import WatsonDeveloperCloudService
import json


[docs]class SpeechToTextV1(WatsonDeveloperCloudService): default_url = "https://stream.watsonplatform.net/speech-to-text/api" def __init__(self, url=default_url, **kwargs): WatsonDeveloperCloudService.__init__(self, 'speech_to_text', url, **kwargs)
[docs] def recognize(self, audio, content_type, continuous=False, model=None, customization_id=None, inactivity_timeout=None, keywords=None, keywords_threshold=None, max_alternatives=None, word_alternatives_threshold=None, word_confidence=None, timestamps=None, interim_results=None, profanity_filter=None, smart_formatting=None, speaker_labels=None): """ Returns the recognized text from the audio input """ headers = {'content-type': content_type} params = {'continuous': continuous, 'inactivity_timeout': inactivity_timeout, 'keywords': keywords, 'keywords_threshold': keywords_threshold, 'max_alternatives': max_alternatives, 'model': model, 'customization_id': customization_id, 'word_alternatives_threshold': word_alternatives_threshold, 'word_confidence': word_confidence, 'timestamps': timestamps, 'interim_results': interim_results, 'profanity_filter': profanity_filter, 'smart_formatting': smart_formatting, 'speaker_labels': speaker_labels} return self.request(method='POST', url='/v1/recognize', headers=headers, data=audio, params=params, stream=True, accept_json=True)
[docs] def models(self): """ Returns the list of available models to use with recognize """ return self.request(method='GET', url='/v1/models', accept_json=True)
[docs] def get_model(self, model_id): """ :param model_id: The identifier of the desired model :return: A single instance of a Model object with results for the specified model. """ return self.request(method='GET', url='/v1/models/{0}'.format(model_id), accept_json=True)
[docs] def create_custom_model(self, name, description="", base_model="en-US_BroadbandModel"): json_body = json.dumps({'name': name, 'description': description, 'base_model_name': base_model}) return self.request(method='POST', url='/v1/customizations', headers={'content-type': 'application/json'}, data=json_body, accept_json=True)
[docs] def list_custom_models(self): return self.request(method='GET', url='/v1/customizations', accept_json=True)
[docs] def get_custom_model(self, modelid): return self.request(method='GET', url='/v1/customizations/{0}'.format(modelid), accept_json=True)
[docs] def delete_custom_model(self, modelid): return self.request(method='DELETE', url='/v1/customizations/{0}'.format(modelid), accept_json=True)
[docs] def list_corpora(self, customization_id): url = '/v1/customizations/{0}/corpora' return self.request(method='GET', url=url.format(customization_id), accept_json=True)
[docs] def add_corpus(self, customization_id, corpus_name, file_data, allow_overwrite=None): url = '/v1/customizations/{0}/corpora/{1}' if allow_overwrite is None: allow_overwrite = False headers = {'Content-Type': 'application/octet-stream'} return self.request(method='GET', url=url.format(customization_id, corpus_name), headers=headers, data=file_data, params={'allow_overwrite': allow_overwrite}, accept_json=True)
[docs] def get_corpus(self, customization_id, corpus_name): url = '/v1/customizations/{0}/corpora/{1}' return self.request(method='GET', url=url.format(customization_id, corpus_name), accept_json=True)
[docs] def delete_corpus(self, customization_id, corpus_name): url = '/v1/customizations/{0}/corpora/{1}' return self.request(method='DELETE', url=url.format(customization_id, corpus_name), accept_json=True)
[docs] class CustomWord(object): def __init__(self, word=None, sounds_like=None, display_as=None): self._word = word self._sounds_like = sounds_like self._display_as = display_as @property def word(self): return self._word @property def sounds_like(self): return self._sounds_like @property def display_as(self): return self._display_as def __dict__(self): return {'word': self.word, 'sounds_like': self.sounds_like, 'display_as': self.display_as}
[docs] def add_custom_words(self, customization_id, custom_words): url = '/v1/customizations/{0}/words' payload = {'words': [x.__dict__() for x in custom_words]} return self.request(method='POST', url=url.format(customization_id), data=json.dumps(payload), headers={'content-type': 'application/json'}, accept_json=True)
[docs] def add_custom_word(self, customization_id, custom_word): url = '/v1/customizations/{0}/words/{1}' custom_word_fragment = {'sounds_like': custom_word.sounds_like, 'display_as': custom_word.display_as} return self.request(method='POST', url=url.format(customization_id, custom_word.word), data=json.dumps(custom_word_fragment), headers={'content-type': 'application/json'}, accept_json=True)
[docs] def list_custom_words(self, customization_id, word_type=None, sort=None): url = '/v1/customizations/{0}/words' qs = {} if word_type: if word_type in ['all', 'user', 'corpora']: qs['word_type'] = word_type else: raise KeyError('word type must be all, user, or corpora') if sort: if sort in ['alphabetical', 'count']: qs['sort'] = sort else: raise KeyError('sort must be alphabetical or count') return self.request(method='GET', url=url.format(customization_id), params=qs, accept_json=True)
[docs] def get_custom_word(self, customization_id, custom_word): url = '/v1/customizations/{0}/words/{1}' word = None if isinstance(custom_word, str): word = custom_word else: word = custom_word.word return self.request(method='GET', url=url.format(customization_id, word), accept_json=True)
[docs] def delete_custom_word(self, customization_id, custom_word): url = '/v1/customizations/{0}/words/{1}' word = None if isinstance(custom_word, str): word = custom_word else: word = custom_word.word return self.request(method='DELETE', url=url.format(customization_id, word), accept_json=True)